The project addresss the lack of information and methodological frameworks to assess the quality of index-based insurance products for pastoral drylands. This objective is pursued by (i) analyzing existing datasest and developing innovative data mining approaches for analyzing product quality and (ii) designing cost-effective data collection protocols and test them through directly collecting a new datasets of historical droughts.
This project aims to contribute to our ongoing efforts to effectively and efficiently deliver the Index-Based Livestock Insurance (IBLI) product to pastoralist clients in eight counties in Kenya. Leveraging innovations in mobile and web-based applications, we seek to cost-effectively deliver IBLI products and related services to IBLI’s target clientele in remote communities.
The IBLI-BORESHA project aims to build the capacity of key actors along the Index-Based Livestock Insurance (IBLI) implementation chain to attain increased IBLI uptake by least 2,000 households in Mandera County by the end of the 2-year project period.
This project is a study to explore the technical, operational, financial, and socio-economic challenges that would have to be addressed for the successful introduction of a satellite-based drought insurance product for pastoralists in Somalia.
This project leverages our expertise in the design and implementation of Index-Based Livestock Insurance (IBLI) products to support African Risk Capacity (ARC) in developing a new macroscale model for drought index insurance targeting the extensive pastoral areas of Africa.
The IBLI team has been invited to offer technical assistance to the Kenyan Ministry of Agriculture, Livestock and Fisheries to support the establishment of a large-scale public-private partnership for agricultural insurance. KLIP represents the Government of Kenya’s commitment to scale up the provision of IBLI across all 14 Arid Counties of Kenya where the pastoral production system is the dominant livelihood and drought-related livestock mortality is the main source of vulnerability.
The goal of this project is to increase informed demand for Index-Based Livestock Insurance (IBLI) among pastoralists by identifying cost-effective strategies for training insurance sales agents and conducting direct-to-pastoralist extension activities in remote regions.
This research-for-development project entails two related outputs: creating the conditions to scale up Index-Based Livestock Insurance (IBLI) beyond the Borana Zone of Southern Ethiopia, and identifying the conditions required to develop an agrometeorological information system for pastoralists in two Northern Kenyan counties.
This study examines the impacts that drought insurance and entrepreneurial graduation programs have on the extent and depth of poverty over time. Furthermore, we aim to identify prospective complementarities between the two approaches to social protection.
An ongoing challenge for our Index-Based Livestock Insurance (IBLI) product is establishing a sustainable client base. This project is a study to find the best business model to sell and market IBLI, ensuring its future as a commercially viable and sustainable product that benefits millions of pastoralists in Africa.
Although “[m]alnutrition overall remains an immense and universal problem, with at least one in three people globally experiencing malnutrition in some form” information on nutrition is scarce in many of the poorest and most malnourished regions of the world (Global Nutrition Report, 2017, p. 17). To address this information deficit, the IBLI team is developing and implementing a low-cost, near-real-time digital approach to tracking and disseminating information on household consumption and child health in remote dryland regions.
Information scarcity on livestock markets and essential services severely limits development and resource management in the drylands. How can we leverage digital technologies and grow access to mobile networks to develop a data collection, processing and dissemination platform? Our goal is to develop a digital platform using crowdsourcing techniques that delivers high-resolution, near real-time market data in an economically sustainable way.